Titlebook: Optimization, Learning Algorithms and Applications; Third International Ana I. Pereira,Armando Mendes,José Lima Conference proceedings 202

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Deep Learning-Based Classification and Quantification of Emulsion Droplets: A YOLOv7 Approach manual procedures have been the traditional approach for its determination. Here we introduced the application of YOLOv7, a recently launched deep-learning model, for classifying emulsion droplets. A comparison was made between the two methods for calculating droplet size distribution. One of the m

纯朴

Identification of Late Blight in Potato Leaves Using Image Processing and Machine Learning nutrition, and soil preparation, among others. However, diseases such as late blight disease can often affect the crop, impacting many farmers around the world. As a way to help production, technology in agriculture is increasing. Among the various computational techniques that can be applied, thos

irritation

Deep Learning-Based Localization Approach for Autonomous Robots in the RobotAtFactory 4.0 Competitioo address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning solution employing Convolutional Neural Networks (CNN) to tackle the localization problem, specifically in the context of the RobotAtFactory

Alveolar-Bone

Deep Learning and Machine Learning Techniques Applied to Speaker Identification on Small Datasetscontrol systems and serving as a resource for future research and improvements in secure and efficient speaker identification solutions. We focused on developing and evaluating machine learning and deep learning models for speaker identification. The models were trained and tested on private dataset

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Impact of EMG Signal Filters on Machine Learning Model Training: A Comparison with Clustering on Raw (PwD) are often mistakenly considered incapable due to the difficulties they face in daily tasks due to the lack of adapted means and tools. In this context, assistive technologies play a crucial role in improving the quality of life for these individuals. However, assistive technologies still have

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e migrationsbedingte Diversifizierung unserer Bevölkerungsstruktur ist insbesondere in Städten und Regionen ausgeprägt, die als bedeutende Wirtschaftsstandorte Arbeitskräfte aus dem Ausland anzichen. Wachstumsorientierte Wirtschaftsmetropolen werden auch in der Zukunft auf zusätzliche Fachkräfte aus

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OATH

Luan C. Klein,Arezki Abderrahim Chellal,Vinicius Grilo,José Gonçalves,Maria F. Pacheco,Florbela P. Fe migrationsbedingte Diversifizierung unserer Bevölkerungsstruktur ist insbesondere in Städten und Regionen ausgeprägt, die als bedeutende Wirtschaftsstandorte Arbeitskräfte aus dem Ausland anzichen. Wachstumsorientierte Wirtschaftsmetropolen werden auch in der Zukunft auf zusätzliche Fachkräfte aus